import requests
from bs4 import BeautifulSoup
from datetime import datetime
import logging
from typing import List, Dict

class WebCrawler:
    def __init__(self):
        self.headers = {
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
        }
        self.logger = logging.getLogger(__name__)

    def fetch_news(self, url: str) -> List[Dict]:
        """
        从指定URL获取新闻数据
        """
        try:
            response = requests.get(url, headers=self.headers)
            response.raise_for_status()
            soup = BeautifulSoup(response.text, 'html.parser')
            
            # 这里需要根据具体网站结构进行解析
            # 示例代码仅作参考
            news_items = []
            articles = soup.find_all('article')
            
            for article in articles:
                news_item = {
                    'title': article.find('h2').text.strip(),
                    'content': article.find('div', class_='content').text.strip(),
                    'url': article.find('a')['href'],
                    'source': url,
                    'timestamp': datetime.now().isoformat()
                }
                news_items.append(news_item)
            
            return news_items
            
        except Exception as e:
            self.logger.error(f"Error fetching news from {url}: {str(e)}")
            return []

    def fetch_social_media(self, platform: str, keyword: str) -> List[Dict]:
        """
        从社交媒体平台获取数据
        """
        # 这里需要根据具体平台API实现
        # 示例代码仅作参考
        pass

    def fetch_weibo(self, keyword: str) -> List[Dict]:
        """
        从微博获取数据
        """
        # 实现微博数据采集
        pass

    def fetch_wechat(self, keyword: str) -> List[Dict]:
        """
        从微信获取数据
        """
        # 实现微信数据采集
        pass 